{"id":50715,"date":"2020-11-24T00:00:00","date_gmt":"2020-11-24T08:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/"},"modified":"2025-11-14T07:54:13","modified_gmt":"2025-11-14T15:54:13","slug":"analyzing-a-time-series-real-estate-dataset-with-griddb-and-java","status":"publish","type":"post","link":"https:\/\/www.griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/","title":{"rendered":"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790"},"content":{"rendered":"<h2>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a<\/h2>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001GridDB\u3068Java\u3092\u4f7f\u3063\u3066\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5206\u6790\u3057\u3066\u53d6\u308a\u8fbc\u3080\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002\u5206\u6790\u3059\u308b\u30c7\u30fc\u30bf\u306f\u3001\u4e0d\u52d5\u7523\u7269\u4ef6\u306e\u58f2\u4e0a\u306e\u8a73\u7d30\u306b\u95a2\u3057\u3066\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002\u3053\u306e<a href=\"https:\/\/www.kaggle.com\/htagholdings\/property-sales\">\u30ea\u30f3\u30af<\/a>\u304b\u3089\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u307e\u305a\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69cb\u9020\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u306f\u6b21\u306e\u8868\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-26977\" src=\"https:\/\/griddb.net\/wp-content\/uploads\/2020\/11\/table.png\" alt=\"\" width=\"602\" height=\"264\" srcset=\"\/wp-content\/uploads\/2020\/11\/table.png 602w, \/wp-content\/uploads\/2020\/11\/table-300x132.png 300w, \/wp-content\/uploads\/2020\/11\/table-600x263.png 600w\" sizes=\"(max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>\u4eca\u56de\u306e\u5b9f\u88c5\u3067GridDB\u3092\u4f7f\u7528\u3057\u305f\u306e\u306f\u3001GridDB\u306b\u306f\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306b\u6700\u9069\u306a\u72ec\u81ea\u306e\u6a5f\u80fd\u304c\u3042\u308b\u305f\u3081\u3067\u3059\u3002<br \/>\n<a href=\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/time-series-data-griddb\/\">\u3053\u306e\u8a18\u4e8b<\/a>\u3067\u306f\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3068GridDB\u306b\u3064\u3044\u3066\u308f\u304b\u308a\u3084\u3059\u304f\u8aac\u660e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u5b9f\u88c5\u3092\u59cb\u3081\u308b\u524d\u306b\u3001Java\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3067GridDB\u30b5\u30fc\u30d0\u30fc\u3092\u8a2d\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<br \/>\n\u307e\u3060\u8a2d\u5b9a\u3057\u3066\u3044\u306a\u3044\u5834\u5408\u306f\u3001<a href=\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/griddb-quickstart\/\">\u3053\u3061\u3089\u306e\u30af\u30a4\u30c3\u30af\u30b9\u30bf\u30fc\u30c8\u30ac\u30a4\u30c9<\/a>\u306b\u5f93\u3063\u3066\u8a2d\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u63a5\u7d9a\u3001GridStore\u306e\u53d6\u5f97\u3001\u30c7\u30fc\u30bf\u306e\u4fdd\u5b58\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u306f\u8a73\u3057\u304f\u6271\u3044\u307e\u305b\u3093\u3002\u4e3b\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3059\u3002\u3067\u306f\u3001\u5b9f\u88c5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30ab\u30e9\u30e0\u540d\u3092\u5ba3\u8a00\u3057\u3001GridStore\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u5f97\u3059\u308b<\/h2>\n<p>\u6700\u521d\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5c5e\u6027\u3092\u6b21\u306e\u3088\u3046\u306bstatic\u306a\u5185\u90e8\u30af\u30e9\u30b9\u3068\u3057\u3066\u5ba3\u8a00\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">static class Sales {\n    @RowKey Date salesdate;\n    int MA;\n    String type;\n    int bedrooms;\n}<\/code><\/pre>\n<\/div>\n<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5fdc\u3058\u3066\u30014\u3064\u306e\u5c5e\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u3001\u8aad\u307f\u3084\u3059\u3055\u3092\u8003\u616e\u3057\u3066\u30ab\u30e9\u30e0\u540d\u3068\u540c\u3058\u540d\u524d\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002 @RowKey \u69cb\u6587\u306f\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u884c\u30ad\u30fc\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u6b21\u306b\u3001GridStore\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u5f97\u3057\u3001\u6642\u7cfb\u5217\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<br \/>\nGridStore\u3092\u53d6\u5f97\u3059\u308b\u306b\u306f\u3001\u901a\u77e5\u30a2\u30c9\u30ec\u30b9\u3001\u901a\u77e5\u30dd\u30fc\u30c8\u3001\u30e6\u30fc\u30b6\u30fc\u540d\u3001\u30d1\u30b9\u30ef\u30fc\u30c9\u306a\u3069\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u3092\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u53d6\u308a\u3068\u4fdd\u5b58<\/h2>\n<p>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u4fdd\u5b58\u3059\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u3092\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089\u8aad\u307f\u53d6\u3063\u3066\u524d\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u65e5\u4ed8\u306e\u5f62\u5f0f\u306f \u300cdd\/MM\/yyyy\u300d \u3067\u3059\u3002\u305f\u3060\u3057\u3001\u65e5\u4ed8\u306f\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3068\u3057\u3066\u4fdd\u5b58\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<br \/>\n\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u6642\u523b\u304c\u6307\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u306e\u3067\u3001 \u300c00:00\u300d \u306b\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002\u305d\u306e\u4ed6\u306e\u30ab\u30e9\u30e0\u5024\u306f\u3001\u5909\u66f4\u3057\u306a\u304f\u3066\u3082\u4fdd\u5b58\u3067\u304d\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">File csvFile = new File(\"ma_lga_12345.csv\");\nScanner sc = new Scanner(csvFile);\nString data = sc.next();\n\nwhile (sc.hasNext()) {\n    String scData = sc.next();\n    String dataList[] = scData.split(\",\");\n    String salesdate = dataList[0];\n    String MA = dataList[1];\n    String type = dataList[2];\n    String bedrooms = dataList[3];\n\n    Sales sales = new Sales();\n\n    sales.salesdate = convertDateToTimeStamp(salesdate);\n    sales.MA = Integer.parseInt(MA);\n    sales.type = type;\n    sales.bedrooms = Integer.parseInt(bedrooms);\n    ts.append(sales);\n}<\/code><\/pre>\n<\/div>\n<p>\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u306f\u3001\u884c\u3054\u3068\u306bCSV\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u3063\u3066\u95a2\u9023\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3057\u3001sales\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u305d\u308c\u304b\u3089\u4f5c\u6210\u3057\u305f sales \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u8ffd\u52a0\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>convertDateToTimeStamp \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u3001\u6b21\u306e\u3088\u3046\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8ca9\u58f2\u65e5\u3092\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">static Date convertDateToTimeStamp(date) {\n    String OLD_FORMAT = \"dd\/MM\/yyyy\";\n    String NEW_FORMAT = \"yyyy\/MM\/dd\";\n    SimpleDateFormat format = new SimpleDateFormat(\"yyyy\/MM\/ddHH:mm:ss\");          \n    SimpleDateFormat sdf = new SimpleDateFormat(OLD_FORMAT);\n    Date d = sdf.parse(salesdate);\n    sdf.applyPattern(NEW_FORMAT);\n    String newDateString = sdf.format(d);\n    String datetimes = newDateString +\"00\"+\":00:00\";\n    Date dates = format.parse(datetimes);\n    Long dt = dates.getTime();\n    return new Date(dt);\n}<\/code><\/pre>\n<\/div>\n<p>Java \u306e SimpleDateFormat \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3063\u3066\u65e5\u4ed8\u3092\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u306b\u5909\u63db\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u3067\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u304c\u3059\u3079\u3066\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u4fdd\u5b58\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30c7\u30fc\u30bf\u5206\u6790<\/h2>\n<p>\u3053\u3053\u304b\u3089\u306f\u3001\u7528\u610f\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790\u306b\u53d6\u308a\u304b\u304b\u308c\u307e\u3059\u3002\u3053\u3053\u3067\u4e0d\u52d5\u7523\u8ca9\u58f2\u30c7\u30fc\u30bf\u306b\u9069\u7528\u3057\u305f\u30c7\u30fc\u30bf\u5206\u6790\u6cd5\u306f\u3001\u4ed6\u306e\u8ab2\u984c\u30b7\u30ca\u30ea\u30aa\u3067\u3082\u4f7f\u3048\u308b\u3088\u3046\u306b\u4e00\u822c\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u6307\u5b9a\u3057\u305f\u6642\u9593\u7bc4\u56f2\u5185\u306e\u30c7\u30fc\u30bf\u53d6\u5f97<\/h2>\n<p>\u307e\u305a\u6307\u5b9a\u7bc4\u56f2\u306e\u6642\u7cfb\u5217\u8981\u7d20\u306e\u62bd\u51fa\u65b9\u6cd5\u3092\u898b\u3066\u307f\u307e\u3059\u3002\u4f8b\u3068\u3057\u3066\u6642\u9593\u7bc4\u56f2\u306f4\u304b\u6708\u3068\u3057\u307e\u3059\u3002\u305d\u3053\u3067\u5fc5\u8981\u3068\u306a\u308b\u306e\u304c\u3001\u73fe\u5728\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u304b\u30894\u304b\u6708\u524d\u307e\u3067\u306e\u30c7\u30fc\u30bf\u306e\u62bd\u51fa\u3067\u3059\u3002\u3053\u306e\u30b3\u30fc\u30c9\u3092\u8aad\u3093\u3067\u3001\u5b9f\u88c5\u3057\u3066\u3044\u308b\u30ed\u30b8\u30c3\u30af\u3068\u69cb\u6587\u3092\u628a\u63e1\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Date now = TimestampUtils.current();\nDate before = TimestampUtils.add(now, -4, TimeUnit.MONTH);\nRowSet rs = ts.query(before, now).fetch();\nwhile (rs.hasNext()) {\n    Sales sales = new Sales();\n    sales = rs.next();\n    System.out.println(\"Sales Date=\" + TimestampUtils.format(sales.salesdate) +\n                       \" MA =\" + sales.MA +\n                       \" Type\" + sales.type +\n                       \" Bedrooms\" + sales.bedrooms);\n}\n<\/code><\/pre>\n<\/div>\n<p>\u3053\u306e\u30b3\u30fc\u30c9\u306e1\u884c\u76ee\u3067\u73fe\u5728\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3092\u53d6\u5f97\u3057\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u4eca\u56de\u306e\u5b9f\u88c5\u3067\u306fTimestampUtils\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002\u6b21\u306b\u73fe\u5728\u306e\u6642\u523b\u304b\u30894\u304b\u6708\u5206\u3092\u5f15\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u306fTimestampUtils.add\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3044\u307e\u3059\u3002\u73fe\u5728\u306e\u6642\u523b\u306b\u7279\u5b9a\u306e\u6642\u9593\u3092\u8db3\u3057\u305f\u3044\u5834\u5408\u306f\u3001\u95a2\u6570\u5185\u306e\u6642\u9593\u306e\u524d\u306b\u3042\u308b \u300c-\u300d \u8a18\u53f7\u3092\u524a\u9664\u3057\u307e\u3059\u3002<\/p>\n<p>\u6642\u9593\u5358\u4f4d\u306e\u5909\u66f4\u306f\u3001\u8db3\u3057\u305f\u308a\u5f15\u3044\u305f\u308a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u6642\u9593\u7bc4\u56f2\u306b\u5fdc\u3058\u3066TimeUnit.MONTH\u3001TimeUnit.HOURS\u306a\u3069\u3068\u6307\u5b9a\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/p>\n<p>\u73fe\u5728\u30012\u3064\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u304c\u3042\u308a\u307e\u3059\u30021\u3064\u76ee\u306f\u73fe\u5728\u306e\u6642\u523b\u30012\u3064\u76ee\u306f4\u304b\u6708\u524d\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3067\u3059\u3002\u3053\u306e\u6642\u9593\u7bc4\u56f2\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b\u305f\u3081\u306e\u30af\u30a8\u30ea\u4f5c\u6210\u306f\u975e\u5e38\u306b\u7c21\u5358\u3067\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">RowSet rs = ts.query(before, now).fetch();<\/code><\/pre>\n<\/div>\n<p>\u3053\u308c\u3067\u6307\u5b9a\u3057\u305f\u6642\u9593\u7bc4\u56f2\u5185\u306e\u30c7\u30fc\u30bf\u884c\u304c\u3059\u3079\u3066\u8868\u793a\u3055\u308c\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u8907\u6570\u884c\u304c\u51fa\u529b\u3055\u308c\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3067\u884c\u3063\u3066\u3044\u308b\u3088\u3046\u306b\u3001\u30c7\u30fc\u30bf\u884c\u3092\uff11\u3064\u305a\u3064\u8aad\u307f\u8fbc\u3093\u3067\u304f\u3060\u3055\u3044\u3002<br \/>\n\u884c\u30c7\u30fc\u30bf\u3092\u5909\u6570\u306b\u53d6\u308a\u51fa\u3057\u305f\u3089\u3001\u305d\u306e\u30c7\u30fc\u30bf\u3092\u8868\u793a\u3057\u305f\u308a\u4efb\u610f\u306e\u64cd\u4f5c\u3092\u9069\u7528\u3057\u305f\u308a\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u30af\u30a8\u30ea<\/h2>\n<p>\u3053\u3053\u3067\u3001SQL\u30af\u30a8\u30ea\u3068\u540c\u3058\u5c5e\u6027\u3067\u8907\u6570\u306e\u6761\u4ef6\u3092\u6301\u3064\u30af\u30a8\u30ea\u3092\u4f5c\u6210\u3057\u3001\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p>\u30e6\u30fc\u30b6\u30fc\u306f\u3001MA\u5024\u304c5\u4e07\u30c9\u30eb\u672a\u6e80\u306e\u4f4f\u5b85\u306e\u7a2e\u985e\u3092\u964d\u9806\u306b\u30bd\u30fc\u30c8\u3057\u305f\u6700\u521d\u306e20\u4ef6\u306e\u8a73\u7d30\u60c5\u5831\u3092\u53d6\u5f97\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3068\u4eee\u5b9a\u3057\u307e\u3059\u3002\u307e\u305a\u3001\u3053\u306e\u30b7\u30ca\u30ea\u30aa\u306e\u30af\u30a8\u30ea\u306e\u66f8\u304d\u65b9\u3092\u898b\u3066\u307f\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sql\">Select * from sales01 where type=\u2019unit\u2019 and MA &lt;5000 order by MA desc limit 20<\/code><\/pre>\n<\/div>\n<p>SQL\u306b\u7cbe\u901a\u3057\u3066\u3044\u308b\u65b9\u306a\u3089\u3001\u4eca\u56de\u306e\u30b7\u30ca\u30ea\u30aa\u3067\u3069\u306e\u3088\u3046\u306bSQL\u30af\u30a8\u30ea\u3092\u66f8\u304f\u304b\u308f\u304b\u308b\u3067\u3057\u3087\u3046\u3002\u91cd\u8981\u306a\u306e\u306f\u3001\u3053\u306e\u30af\u30a8\u30ea\u3068\u3001\u305d\u306e\u4ed6\u307b\u3068\u3093\u3069\u306e\u30af\u30a8\u30ea\u306e\u69cb\u6587\u306fSQL\u306b\u4f3c\u3066\u3044\u307e\u3059\u304c\u3001GridDB (TQL)\u3068SQL\u3067\u4f7f\u3046\u30af\u30a8\u30ea\u8a00\u8a9e\u306b\u306f\u9055\u3044\u304c\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n<p>\u4eca\u66f8\u3044\u305f\u30af\u30a8\u30ea\u3067\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sql\">Query query = ts.query(\"select * from sales01\" +\n      \" where type='unit' and MA &lt; 50000 order by MA desc limit 20\");\nRowSet res = query.fetch();<\/code><\/pre>\n<\/div>\n<p>\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4efb\u610f\u306e\u30af\u30a8\u30ea\u304b\u3089\u7d50\u679c\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u3067\u3059\u3002\u5148\u306e\u4f8b\u3068\u540c\u69d8\u306b\u3001\u7d50\u679c\u3068\u3057\u3066\u884c\u304c\u53d6\u5f97\u3067\u304d\u305f\u304b\u3069\u3046\u304b\u3092\u78ba\u8a8d\u3057\u3001\u62bd\u51fa\u30c7\u30fc\u30bf\u306b\u95a2\u9023\u3059\u308b\u64cd\u4f5c\u3092\u9069\u7528\u3057\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\u3002<\/p>\n<h2>\u62bd\u51fa\u30c7\u30fc\u30bf\u306e\u5e73\u5747\u5024\u306e\u8a08\u7b97<\/h2>\n<p>\u6700\u5f8c\u306b\u3001\u6307\u5b9a\u306e\u6642\u9593\u7bc4\u56f2\u5185\u306b\u3042\u308b\u7279\u5b9a\u306e\u30c7\u30fc\u30bf\u5024\u306e\u5e73\u5747\u5024\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p>\u6307\u5b9a\u3057\u305f\u65e5\u4ed8\u306e2\u304b\u6708\u524d\u304b\u30892\u304b\u6708\u5f8c\u307e\u3067\u306e4\u304b\u6708\u9593\u306e\u5e73\u5747MA\u5024\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n<p>salesTime\u306f\u30e6\u30fc\u30b6\u30fc\u304c\u6307\u5b9a\u3057\u305f\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3060\u3068\u4eee\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Date start = TimestampUtils.add(salesTime, -2, TimeUnit.MONTH);\nDate end = TimestampUtils.add(salesTime, 2, TimeUnit.MONTH);\nAggregationResult avg = ts.aggregate(start, end, \"MA\", Aggregation.AVERAGE);\n \nSystem.out.println(\u201cavg=\" + avg.getDouble());<\/code><\/pre>\n<\/div>\n<p>\u524d\u8ff0\u3057\u305f\u3088\u3046\u306b\u3001\u958b\u59cb\u6642\u523b\u3068\u7d42\u4e86\u6642\u523b\u306fTimestampUtils.add\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3063\u3066\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002\u3053\u3053\u3067\u6307\u5b9a\u3057\u305f\u6642\u9593\u7bc4\u56f2\u5185\u306e\u5e73\u5747MA\u5024\u3092\u53d6\u5f97\u3057\u307e\u3059\u304c\u3001\u6b21\u306e\u96c6\u8a08\u65b9\u6cd5\u3067\u884c\u3044\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sql\">AggregationResult avg = ts.aggregate(start, end, \"MA\", Aggregation.AVERAGE);<\/code><\/pre>\n<\/div>\n<p>\u4e00\u65e6avg\u5909\u6570\u306e\u5e73\u5747\u5024\u3092\u53d6\u5f97\u3059\u308c\u3070\u3001\u9069\u5207\u306a\u64cd\u4f5c\u3092\u9069\u7528\u3067\u304d\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u5024\u3092\u4fdd\u5b58\u3057\u305f\u308a\u3001\u5024\u3092\u30d1\u30e9\u30e1\u30fc\u30bf\u3068\u3057\u3066\u5225\u306e\u95a2\u6570\u306b\u6e21\u3057\u305f\u308a\u3001\u5358\u306b\u6a19\u6e96\u51fa\u529b\u306b\u51fa\u529b\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<h2>Conclusion<\/h2>\n<p>\u3044\u3044\u3067\u3059\u306d\u3002\u4eca\u56de\u306f\u4ee5\u4e0a\u3067\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Java\u3067\u4e0d\u52d5\u7523\u8ca9\u58f2\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u7c21\u5358\u306a\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u3001\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u64cd\u4f5c\u306bGridDB\u3092\u4f7f\u3044\u307e\u3057\u305f\u3002\u3053\u306e\u6280\u8853\u306b\u3088\u308a\u4e00\u5c64\u89aa\u3057\u307f\u3001\u3082\u3063\u3068\u8907\u96d1\u306a\u30e1\u30bd\u30c3\u30c9\u3092\u30c7\u30fc\u30bf\u5206\u6790\u306b\u8ffd\u52a0\u3057\u3066\u3001\u3055\u3089\u306a\u308b\u6a5f\u80fd\u6539\u5584\u306b\u304a\u5f79\u7acb\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a \u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001GridDB\u3068Java\u3092\u4f7f\u3063\u3066\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5206\u6790\u3057\u3066\u53d6\u308a\u8fbc\u3080\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002\u5206\u6790\u3059\u308b\u30c7\u30fc\u30bf\u306f\u3001\u4e0d\u52d5\u7523\u7269\u4ef6\u306e\u58f2\u4e0a\u306e\u8a73\u7d30\u306b\u95a2\u3057\u3066\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002\u3053\u306e\u30ea\u30f3\u30af\u304b\u3089\u30c7\u30fc [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":49159,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50715","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/\u672a\u5206\u985e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"og:description\" content=\"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a\" \/>\n<meta property=\"og:url\" content=\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/\u672a\u5206\u985e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\" \/>\n<meta property=\"og:site_name\" content=\"GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/griddbcommunity\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-11-24T08:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-14T15:54:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.griddb.net\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1441\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"griddb-admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:site\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"griddb-admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\"},\"author\":{\"name\":\"griddb-admin\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\"},\"headline\":\"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790\",\"datePublished\":\"2020-11-24T08:00:00+00:00\",\"dateModified\":\"2025-11-14T15:54:13+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\"},\"wordCount\":49,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\",\"url\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\",\"name\":\"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT\",\"isPartOf\":{\"@id\":\"https:\/\/griddb.net\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg\",\"datePublished\":\"2020-11-24T08:00:00+00:00\",\"dateModified\":\"2025-11-14T15:54:13+00:00\",\"description\":\"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage\",\"url\":\"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg\",\"contentUrl\":\"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg\",\"width\":1920,\"height\":1441},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/griddb.net\/en\/#website\",\"url\":\"https:\/\/griddb.net\/en\/\",\"name\":\"GridDB: Open Source Time Series Database for IoT\",\"description\":\"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL\",\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/griddb.net\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/griddb.net\/en\/#organization\",\"name\":\"Fixstars\",\"url\":\"https:\/\/griddb.net\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"contentUrl\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"width\":200,\"height\":83,\"caption\":\"Fixstars\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/griddbcommunity\/\",\"https:\/\/x.com\/GridDBCommunity\",\"https:\/\/www.linkedin.com\/company\/griddb-by-toshiba\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\",\"name\":\"griddb-admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"caption\":\"griddb-admin\"},\"url\":\"https:\/\/www.griddb.net\/ja\/author\/griddb-admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT","description":"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/\u672a\u5206\u985e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/","og_locale":"ja_JP","og_type":"article","og_title":"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT","og_description":"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a","og_url":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/\u672a\u5206\u985e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/","og_site_name":"GridDB: Open Source Time Series Database for IoT","article_publisher":"https:\/\/www.facebook.com\/griddbcommunity\/","article_published_time":"2020-11-24T08:00:00+00:00","article_modified_time":"2025-11-14T15:54:13+00:00","og_image":[{"width":1920,"height":1441,"url":"https:\/\/www.griddb.net\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg","type":"image\/jpeg"}],"author":"griddb-admin","twitter_card":"summary_large_image","twitter_creator":"@GridDBCommunity","twitter_site":"@GridDBCommunity","twitter_misc":{"\u57f7\u7b46\u8005":"griddb-admin","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"2\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#article","isPartOf":{"@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/"},"author":{"name":"griddb-admin","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233"},"headline":"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790","datePublished":"2020-11-24T08:00:00+00:00","dateModified":"2025-11-14T15:54:13+00:00","mainEntityOfPage":{"@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/"},"wordCount":49,"commentCount":0,"publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"image":{"@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg","inLanguage":"ja","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/","url":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/","name":"GridDB\u3068Java\u3092\u7528\u3044\u305f\u4e0d\u52d5\u7523\u306e\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5206\u6790 | GridDB: Open Source Time Series Database for IoT","isPartOf":{"@id":"https:\/\/griddb.net\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage"},"image":{"@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg","datePublished":"2020-11-24T08:00:00+00:00","dateModified":"2025-11-14T15:54:13+00:00","description":"\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u74b0\u5883\u8a2d\u5b9a","inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/"]}]},{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/analyzing-a-time-series-real-estate-dataset-with-griddb-and-java\/#primaryimage","url":"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg","contentUrl":"\/wp-content\/uploads\/2020\/11\/architecture_1920x1441.jpeg","width":1920,"height":1441},{"@type":"WebSite","@id":"https:\/\/griddb.net\/en\/#website","url":"https:\/\/griddb.net\/en\/","name":"GridDB: Open Source Time Series Database for IoT","description":"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL","publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/griddb.net\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/griddb.net\/en\/#organization","name":"Fixstars","url":"https:\/\/griddb.net\/en\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/","url":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","contentUrl":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","width":200,"height":83,"caption":"Fixstars"},"image":{"@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/griddbcommunity\/","https:\/\/x.com\/GridDBCommunity","https:\/\/www.linkedin.com\/company\/griddb-by-toshiba"]},{"@type":"Person","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233","name":"griddb-admin","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","caption":"griddb-admin"},"url":"https:\/\/www.griddb.net\/ja\/author\/griddb-admin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50715","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/comments?post=50715"}],"version-history":[{"count":1,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50715\/revisions"}],"predecessor-version":[{"id":51553,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50715\/revisions\/51553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/media\/49159"}],"wp:attachment":[{"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/media?parent=50715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/categories?post=50715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.griddb.net\/ja\/wp-json\/wp\/v2\/tags?post=50715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}